Review and validate AI-produced C++ code for correctness, efficiency, and reliability in a remote, contractor role. Ideal for intermediate C/C++ engineers who can spend 20+ hours/week giving clear, actionable feedback to improve generated software.
Coding & Software
100% Remote
Worldwide
Eligibility
Intermediate
Experience
Jul 17, 2026
Posted
Open worldwide
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OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help freelancers discover projects, consolidate proof-of-work, and grow durable portfolios that show real experience in the fast-growing field of AI training.
OpenTrain AI is the hiring and contracting organization for this role. Contributors use the platform to manage opportunities, build credibility, and move into long-term freelance careers supporting the systems that power modern AI.
About AI training and why it matters
AI training (also called data labeling, annotation, or human feedback work) is the human side of building AI systems. People prepare and assess examples—code, text, images, audio—that models learn from, and contributors directly shape how AI behaves.
This work is remote, flexible, and accessible: many projects require only domain knowledge, attention to detail, and clear communication. Reviewing AI-generated code is a high-impact role that helps ensure models produce reliable, maintainable software.
The role
As an AI-Generated C++ Code Reviewer you will validate AI-created C and C++ solutions for quality, correctness, efficiency, and reliability. You will diagnose difficult problems in generated code, confirm whether solutions meet standards, and provide constructive, actionable feedback so generated code improves over time.
This is a contractor, part-time position that expects 20+ hours per week and is open worldwide. The role suits intermediate-level engineers with strong C and C++ skills and experience evaluating or working with AI-assisted code generation.
What you'll do
Review AI-generated C and C++ code against defined quality standards and best practices.
Validate correctness, performance, and dependability of generated implementations.
Troubleshoot and resolve difficult C and C++ programming issues encountered during validation.
Provide clear, constructive feedback and suggestions to improve code quality and maintainability.
Document evaluation decisions and example fixes to help train better model outputs.
Requirements
Preserve the expectations below when applying; we will evaluate technical ability and communication skills during onboarding.
Strong C and C++ programming knowledge and practical debugging experience.
Background in Engineering, Computer Science, or equivalent hands-on experience.
Experience reviewing or validating AI-generated code (preferred but not absolutely required).
Understanding of software development best practices, code quality standards, and performance considerations.
Professional written and spoken English and strong problem-solving skills.
Availability for 20+ hours per week in a contractor, part-time capacity.
Who should apply
This role is a good fit for intermediate C/C++ engineers who enjoy debugging, code review, and improving software quality. If you have prior experience with AI-assisted coding tools or have previously validated generated code, you will be especially competitive.
We welcome applicants worldwide who can commit to the time requirement and communicate clearly in English.
How it works
Apply through your OpenTrain profile. Successful applicants will complete a short technical validation and onboarding exercise to demonstrate C/C++ skills and review approach.
Work is remote and flexible within the 20+ hours/week expectation. OpenTrain provides the platform to track assignments, store proof-of-work, and build a public portfolio of AI training contributions.
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